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  1. RegressorMixin — scikit-learn 1.7.0 documentation

    array ([ - 1 , 0 , 1 ]) >>> estimator . fit ( X...__init__ ( self , * , param = 1 ): ... self . param = param ......
    scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html
    Mon Jul 07 14:36:34 UTC 2025
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  2. ClassifierChain — scikit-learn 1.7.0 documentation

    X_test ) array([[1., 1., 0.], [1., 0., 0.], [0., 1., 0.]]) >>> chain...order = [ 0 , 1 , 2 , ... , Y . shape [ 1 ] - 1 ] The order of...
    scikit-learn.org/stable/modules/generated/sklearn.multioutput.ClassifierChain.html
    Mon Jul 07 14:36:34 UTC 2025
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  3. DetCurveDisplay — scikit-learn 1.7.0 documentation

    y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.DetCurveDisplay.html
    Mon Jul 07 14:36:34 UTC 2025
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  4. MultiTaskLasso — scikit-learn 1.7.0 documentation

    1 ) >>> clf . fit ([[ 0 , 1 ], [ 1 , 2 ], [ 2 ,...0 ], [ 1 , 1 ], [ 2 , 3 ]]) MultiTaskLasso(alpha=0.1) >>> print...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html
    Mon Jul 07 14:36:32 UTC 2025
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  5. mean_absolute_percentage_error — scikit-learn 1...

    1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...y_true = [ 1. , 0. , 2.4 , 7. ] >>> y_pred = [ 1.2 , 0.1 , 2.4 ,...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html
    Mon Jul 07 14:36:35 UTC 2025
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  6. IsolationForest example — scikit-learn 1.7.0 do...

    1 ], [ 0.7 , 0.4 ]]) cluster_1 = 0.4 * rng . randn...assigned a ground truth label 1 whereas the outliers (created...
    scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html
    Mon Jul 07 14:36:32 UTC 2025
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  7. MLPClassifier — scikit-learn 1.7.0 documentation

    :]) array([1, 0, 1, 0, 1]) >>> clf . score ( X_test..., validation_fraction = 0.1 , beta_1 = 0.9 , beta_2 = 0.999 ,...
    scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html
    Mon Jul 07 14:36:34 UTC 2025
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  8. TweedieRegressor — scikit-learn 1.7.0 documenta...

    float64(1.600) >>> clf . predict ([[ 1 , 1 ], [ 3 , 4 ]])...Power Distribution 0 Normal 1 Poisson (1,2) Compound Poisson Gamma...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html
    Mon Jul 07 14:36:35 UTC 2025
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  9. GradientBoostingRegressor — scikit-learn 1.7.0 ...

    1 , n_estimators = 100 , subsample = 1.0 , criterion...in the range [1, inf) . subsample float, default=1.0 The fraction...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html
    Mon Jul 07 14:36:35 UTC 2025
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  10. RandomForestRegressor — scikit-learn 1.7.0 docu...

    min_samples_leaf = 1 , min_weight_fraction_leaf = 0.0 , max_features = 1.0 ,...e.g. 0.3. Changed in version 1.1: The default of max_features...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html
    Mon Jul 07 14:36:34 UTC 2025
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